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CSV files and R script: writing process data of typed picture description by 15 cognitively impaired patients and 15 healthy controls

Authors: Meulemans, Catherine; Leijten, Mariëlle; Van Waes, Luuk; Engelborghs, Sebastiaan; Engelborghs, Sebastiaan; Engelborghs, Sebastiaan; Engelborghs, Sebastiaan; +1 Authors

CSV files and R script: writing process data of typed picture description by 15 cognitively impaired patients and 15 healthy controls

Abstract

Writing process data of 15 cognitively impaired patients and 15 age- and gender-matched healthy controls were obtained. Each of them completed two typed picture description tasks that were logged with Inputlog, a keystroke logging tool. Variables included time on task; number of characters, pauses and Pause-bursts per minute; proportion of pause time; duration of Pause-bursts; and pause time between words. For pause time between words, also the effect of pauses preceeding specific word categories was analyzed. The data were used to explore if the observation of writing behavior can assist in the screening and follow-up of mild cognitive impairment (MCI) and mild dementia due to Alzheimer’s disease (AD). This data set contains the CSV files that were used for the analyses and the corresponding R script.

This work was supported by the Research Foundation - Flanders [Postdoctoral fellowship, reference number: 1234614N, PeopleSoft ID: 4760; Aspirant 2016, reference number: 1173617N, PeopleSoft ID: 3330].

Country
Belgium
Keywords

mild cognitive impairment, keystroke logging, Linguistics, Alzheimer's disease, writing processes, word categories, dementia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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